Electron Density and Biologically Effective Dose (BED) Radiomics-Based Machine Learning Models to Predict Late Radiation-Induced Subcutaneous Fibrosis

Purpose: to predict the occurrence of late subcutaneous radiation induced fibrosis (RIF) after partial breast irradiation (PBI) for breast carcinoma by using machine learning (ML) models and radiomic features from 3D Biologically Effective Dose (3D-BED) and Relative Electron Density (3D-RED). Method...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:Front Oncol
Main Authors: Avanzo, Michele, Pirrone, Giovanni, Vinante, Lorenzo, Caroli, Angela, Stancanello, Joseph, Drigo, Annalisa, Massarut, Samuele, Mileto, Mario, Urbani, Martina, Trovo, Marco, el Naqa, Issam, De Paoli, Antonino, Sartor, Giovanna
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2020
Assuntos:
Oncology
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7186445/
https://ncbi.nlm.nih.gov/pubmed/32373520
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2020.00490
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados